Comparable Cardiorenal Benefits of SGLT2 Inhibitors and GLP-1RAs in Asian and White Populations: An Updated Meta-analysis of Results From Randomized Outcome Trials.


Journal

Diabetes care
ISSN: 1935-5548
Titre abrégé: Diabetes Care
Pays: United States
ID NLM: 7805975

Informations de publication

Date de publication:
01 04 2022
Historique:
received: 17 08 2021
accepted: 05 01 2022
entrez: 29 3 2022
pubmed: 30 3 2022
medline: 23 4 2022
Statut: ppublish

Résumé

Whether the cardiorenal benefits of sodium-glucose cotransporter 2 (SGLT2) inhibitors and glucagon-like peptide 1 receptor agonists (GLP-1RAs) are comparable between White and Asian populations remains unclear. To compare the cardiorenal benefits of SGLT2 inhibitors and GLP-1RAs between White and Asian populations and to compare the cardiorenal benefits between the two agents in Asian patients. Electronic databases were searched up to 28 March 2021. We included the cardiovascular (CV) and renal outcome trials of SGLT2 inhibitors and GLP-1RAs where investigators reported major adverse CV events (MACE), CV death/hospitalization for heart failure (HHF), or composite renal outcomes with stratification by race. We extracted the hazard ratio of each outcome stratified by race (Asian vs. White populations). In 10 SGLT2 inhibitor trials, there was no significant difference between Asian and White populations for MACE (P = 0.55), CV death/HHF (P = 0.87), or composite renal outcomes (P = 0.97). In seven GLP-1RA trials, we observed a similar MACE benefit between Asian and White populations (P = 0.10). In our networkmeta-analysis we found a comparable benefit for MACE between SGLT2 inhibitors and GLP-1RAs in Asian patients. The data were from stratified analyses. There appear to be comparable cardiorenal benefits of SGLT2 inhibitors and GLP-1RAs between Asian and White participants enrolled in CV and renal outcome trials; the two therapies seem to have similar CV benefits for Asian participants.

Sections du résumé

BACKGROUND
Whether the cardiorenal benefits of sodium-glucose cotransporter 2 (SGLT2) inhibitors and glucagon-like peptide 1 receptor agonists (GLP-1RAs) are comparable between White and Asian populations remains unclear.
PURPOSE
To compare the cardiorenal benefits of SGLT2 inhibitors and GLP-1RAs between White and Asian populations and to compare the cardiorenal benefits between the two agents in Asian patients.
DATA SOURCES
Electronic databases were searched up to 28 March 2021.
STUDY SELECTION
We included the cardiovascular (CV) and renal outcome trials of SGLT2 inhibitors and GLP-1RAs where investigators reported major adverse CV events (MACE), CV death/hospitalization for heart failure (HHF), or composite renal outcomes with stratification by race.
DATA EXTRACTION
We extracted the hazard ratio of each outcome stratified by race (Asian vs. White populations).
DATA SYNTHESIS
In 10 SGLT2 inhibitor trials, there was no significant difference between Asian and White populations for MACE (P = 0.55), CV death/HHF (P = 0.87), or composite renal outcomes (P = 0.97). In seven GLP-1RA trials, we observed a similar MACE benefit between Asian and White populations (P = 0.10). In our networkmeta-analysis we found a comparable benefit for MACE between SGLT2 inhibitors and GLP-1RAs in Asian patients.
LIMITATIONS
The data were from stratified analyses.
CONCLUSIONS
There appear to be comparable cardiorenal benefits of SGLT2 inhibitors and GLP-1RAs between Asian and White participants enrolled in CV and renal outcome trials; the two therapies seem to have similar CV benefits for Asian participants.

Identifiants

pubmed: 35349656
pii: 144914
doi: 10.2337/dc21-1722
doi:

Substances chimiques

Glucagon-Like Peptide-1 Receptor 0
Sodium-Glucose Transporter 2 Inhibitors 0

Banques de données

figshare
['10.2337/figshare.18057245']

Types de publication

Journal Article Meta-Analysis Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1007-1012

Informations de copyright

© 2022 by the American Diabetes Association.

Auteurs

Huilin Tang (H)

Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL.

Stephen E Kimmel (SE)

Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL.

Steven M Smith (SM)

Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL.
Center for Drug Evaluation and Safety, University of Florida, Gainesville, FL.

Kenneth Cusi (K)

Division of Endocrinology, Diabetes, and Metabolism, University of Florida, Gainesville, FL.

Weilong Shi (W)

Department of Pharmacy, Peking University Third Hospital, Beijing, China.

Matthew Gurka (M)

Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL.

Almut G Winterstein (AG)

Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL.
Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL.
Center for Drug Evaluation and Safety, University of Florida, Gainesville, FL.

Jingchuan Guo (J)

Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL.
Center for Drug Evaluation and Safety, University of Florida, Gainesville, FL.

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Classifications MeSH